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      MIMIC-IV, a freely accessible electronic health record dataset

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          Abstract

          Digital data collection during routine clinical practice is now ubiquitous within hospitals. The data contains valuable information on the care of patients and their response to treatments, offering exciting opportunities for research. Typically, data are stored within archival systems that are not intended to support research. These systems are often inaccessible to researchers and structured for optimal storage, rather than interpretability and analysis. Here we present MIMIC-IV, a publicly available database sourced from the electronic health record of the Beth Israel Deaconess Medical Center. Information available includes patient measurements, orders, diagnoses, procedures, treatments, and deidentified free-text clinical notes. MIMIC-IV is intended to support a wide array of research studies and educational material, helping to reduce barriers to conducting clinical research.

          Abstract

          Measurement(s) Homo sapiens
          Technology Type(s) Electronic Health Record
          Sample Characteristic - Organism Homo sapiens
          Sample Characteristic - Environment hospital
          Sample Characteristic - Location Commonwealth of Massachusetts

          Related collections

          Most cited references12

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          MIMIC-III, a freely accessible critical care database

          MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. The database supports applications including academic and industrial research, quality improvement initiatives, and higher education coursework.
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            PhysioBank, PhysioToolkit, and PhysioNet

            Circulation, 101(23)
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              • Record: found
              • Abstract: found
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              Is Open Access

              The eICU Collaborative Research Database, a freely available multi-center database for critical care research

              Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected for these patients. Philips Healthcare has developed a telehealth system, the eICU Program, which leverages these data to support management of critically ill patients. Here we describe the eICU Collaborative Research Database, a multi-center intensive care unit (ICU)database with high granularity data for over 200,000 admissions to ICUs monitored by eICU Programs across the United States. The database is deidentified, and includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, treatment information, and more. Data are publicly available after registration, including completion of a training course in research with human subjects and signing of a data use agreement mandating responsible handling of the data and adhering to the principle of collaborative research. The freely available nature of the data will support a number of applications including the development of machine learning algorithms, decision support tools, and clinical research.
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                Author and article information

                Contributors
                aewj@mit.edu
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                3 January 2023
                3 January 2023
                2023
                : 10
                : 1
                Affiliations
                [1 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Massachusetts Institute of Technology, ; Cambridge, MA USA
                [2 ]GRID grid.42327.30, ISNI 0000 0004 0473 9646, The Hospital for Sick Children, ; Toronto, ON Canada
                [3 ]GRID grid.239395.7, ISNI 0000 0000 9011 8547, Beth Israel Deaconess Medical Center, ; Boston, MA USA
                Author information
                http://orcid.org/0000-0001-5456-2170
                http://orcid.org/0000-0002-0958-1820
                http://orcid.org/0000-0002-5676-7898
                http://orcid.org/0000-0002-7682-1943
                http://orcid.org/0000-0001-6712-6626
                http://orcid.org/0000-0002-6318-2978
                Article
                1899
                10.1038/s41597-022-01899-x
                9810617
                36596836
                6020d62a-4bfe-4192-9812-e26c2763b3e9
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 August 2022
                : 14 December 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: NIH-R01-EB017205
                Award ID: NIH-R01-EB017205
                Award ID: NIH-R01-EB017205
                Award ID: NIH-R01-EB017205
                Award ID: NIH-R01-EB017205
                Award ID: NIH-R01-EB017205
                Award ID: NIH-R01-EB017205
                Award Recipient :
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Funded by: U.S. Department of Health & Human Services | National Institutes of Health (NIH)
                Categories
                Data Descriptor
                Custom metadata
                © The Author(s) 2023

                health services,epidemiology,public health
                health services, epidemiology, public health

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